Journal ArticleDOI
Enzymatic reaction rate limits with constraints on equilibrium constants and experimental parameters
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TLDR
A general methodology is presented for estimating maximum rates of enzymatic reactions based on general characteristics of enzyme reaction mechanisms, kinetic limits and thermodynamics and can be subject to additional constraints from experimental data, and thus conform to the distinctive features of the enzyme reaction.Abstract:
A general methodology is presented for estimating maximum rates of enzymatic reactions based on general characteristics of enzymatic reaction mechanisms, kinetic limits and thermodynamics. The useful range of experimentally derived kinetic parameters can also be extended by the methodology. The methodology divides the reaction mechanism into physical and chemical steps. Maximum rates that comply with kinetic and thermodynamic constraints are calculated by setting the physical rate constants to their diffusion limits and optimising the chemical rate constants subject to constraints of the reaction mechanism and overall equilibrium constant. Rate estimates from this methodology can be subject to additional constraints from experimental data, and thus conform to the distinctive features of the enzymatic reaction. The methodology is demonstrated using a reversible enzymatic reaction model involving ordered binding of two reactants and ordered release of two products (bi–bi mechanism). Numerical results are shown for alcohol dehydrogenase (EC 1.1.1.1), which has a bi–bi mechanism. Pyrophosphatase (EC 3.6.1.1) with a uni–bi mechanism and triosephosphate isomerase (EC 5.3.1.1) with a uni–uni mechanism are also examined.read more
Citations
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Predicting function: from genes to genomes and back.
Peer Bork,Thomas Dandekar,Yolande Diaz-Lazcoz,Frank Eisenhaber,Martijn A. Huynen,Yanping Yuan +5 more
TL;DR: This review focuses on the added value that is provided by completely sequenced genomes in function prediction, and various levels of sequence annotation and function prediction are discussed, ranging from genomic sequence to that of complex cellular processes.
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Genome-Scale Thermodynamic Analysis of Escherichia coli Metabolism
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Colored Petri net modeling and simulation of signal transduction pathways.
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Competition for enzymes in metabolic pathways: Implications for optimal distributions of enzyme concentrations and for the distribution of flux control
Edda Klipp,Reinhart Heinrich +1 more
TL;DR: In this article, the principle of minimal total enzyme concentration at fixed steady state fluxes is applied to metabolic networks, and it is shown that a well-balanced distribution of enzymes leads to a lowering of the SD of the flux control coefficients.
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Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm.
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References
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TL;DR: The third edition, coming ten years after the first, emphasizes both the flowering of biochemical research and the prodigious effort by busy teachers and scientists to keep up to date this popular text and reference.
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